Abnormal behavior recognition of ATM users based on hidden Markov models
Song Bing-ju · Journal of Lanzhou University of Technology · 2012
A recognition approach of ATM abnormal behavior was presented based on hidden Markov model(HMM).The behavior characteristics of moving object was extracted with Hu transformation from the video train of the deposit(withdrawal) behavior of the user in front of ATM.The Baum-Welch algorithm was used for normal behavior training and the hidden Markov model was set up.Finally,the ATM user's abnormal behavior was recognized by using the probability of test sample sequence of the model output.The simulation video of ATM user's behavior was simulated with Matlab software.The result showed that this method would exhibit a higher recognition rate of ATM user's behavior.